New multi-model approach gives good estimations of wheat yield under semi-arid climate in Morocco

Author:

Bregaglio Simone,Frasso Nicolò,Pagani Valentina,Stella Tommaso,Francone Caterina,Cappelli Giovanni,Acutis Marco,Balaghi Riad,Ouabbou Hassan,Paleari Livia,Confalonieri Roberto

Publisher

Springer Science and Business Media LLC

Subject

Agronomy and Crop Science,Environmental Engineering

Reference32 articles.

1. Asseng S, Ewert F, Rosenzweig C et al (2013) Quantifying uncertainties in simulating wheat yields under climate change. Nat Clim Chang 3:827–832. doi: 10.1038/nclimate1916

2. Balaghi R, Tychon B, Eerens H, Jilbene M (2008) Empirical regression models using NDVI, rainfall and temperature data for the early prediction of wheat grain yields in Morocco. Int J Appl Earth Obs 10:438–452. doi: 10.1016/j.jag.2006.12.001

3. Balaghi R, Jlibene M, Tychon B, Eerens H (2012) La prédiction agrométéorologique des rendements céréaliers au Maroc. INRA, Maroc

4. Basso B, Cammarano D, Carfagna E (2013) Review of crop yield forecasting methods and early warning systems. Food and Agriculture Organization. http://www.fao.org/fileadmin/templates/ess/documents/meetings_and_workshops/GS_SAC_2013/Improving_methods_for_crops_estimates/Crop_Yield_Forecasting_Methods_and_Early_Warning_Systems_Lit_review.pdf . Accessed 14 Feb 2014

5. Bastiaanssen WGM, Ali S (2003) A new crop yield forecasting model based on satellite measurements applied across the Indus Basin, Pakistan. Agric Ecosyst Environ 94:321–340. doi: 10.1016/S0167-8809(02)00034-8

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